class_docstr: Reshaping Observation wrapper for gym.Env.
  
  This wrapper convert the observations into the given shape.
  
  Args:
      env (gym.Env): The environment to be wrapped.
      shape (list[int]): Target shape to be applied on the observations.
docstr: gym.Env step function.
docstr_tok: ["gym.Env","step","function","."]
code: def step(self, action):
      """gym.Env step function."""
      obs, reward, done, info = self.env.step(action)
      return self._observation(obs), reward, done, info
  
file_path: garage/tests/fixtures/envs/wrappers/reshape_observation.py
imports: import gym
  import numpy
label_desc: Use image node_id 6 for calling the ReshapeObservation obj's underlying member method code with example usage: obj.step(action) and returns: self,  reward,  done,  info